The Digi-Tech Pharma & AI 2026 Conference is a leading platform uniting pharmaceutical and technology leaders, healthcare innovators, regulatory authorities and solution providers to explore the evolving digital landscape in pharma. This conference promotes collaboration and knowledge exchange, enabling organizations to embrace innovation, streamline operations, and drive better patient outcomes.

This event serves as a dynamic platform to explore the integration of science and technology within the pharmaceutical industry, with a strong emphasis on digital trends, AI and machine learning, digital health ecosystems, collaborative innovation, and patient-centric drug development. Key focus areas include digital drug discovery, clinical trials, data science, big data, informatics, real-world data and evidence, and emerging innovations in digital health.

Discover how digital innovation is transforming the pharmaceutical lifecycle – from accelerating development and streamlining regulatory processes to delivering more personalized, accessible, and efficient therapies for patients around the world

At Business, we bring together the brightest minds, leaders, and trailblazers from across industries to explore the latest trends, technologies, and strategies shaping the future.

Connect with professionals, decision-makers, and innovators from across the sector to expand your network and build lasting relationships.

Gain valuable insights from thought leaders as they share strategies, real-world experiences, and forward-thinking perspectives.

Conference Link: https://corvusglobalevents.com/conference/digi-tech-pharma-ai 

Registration Link: https://corvusglobalevents.com/digi-tech-pharma-ai/registration 

Key Highlights:

Digital Technology Trends in the Pharma and Biotech Industry

Adopting AI and Machine Learning to unlock the full potential of Pharma

Integrating Pharma into the Digital Health Environment

Collaborative Innovation: Finding the right partners to leverage new technologies in Pharma

Patient-Centred Drug Discovery

Implementing FAIR Data Principles in Pharma R&D

Harnessing Data Science for Drug Combination Discovery

AI + Big Data: The Future Growth Formula

Clinical Data Interpretation with AI Tools

Big Data Applications in Precision Medicine

Multi-omics Integration and Advanced Data Analytics

Translational Medicine Data: Integration and Visualization

Data and Healthcare Analytics for Smarter Decisions

The Growing Role of Real-World Data in Pharma

RWD in Clinical Research and Drug Development

RWE & RWD in Regulatory Decision-Making

Using Real-World Data Science to Improve Patient Care

Best Practices in Real-World Data Governance

Applying AI to the Design of Lead Compounds

Algorithms and Models for Drug Discovery

Target Identification & Validation Using AI/ML

Quantum Computing for Advanced Drug Discovery

Genomics and Drug Discovery

Virtual and Hybrid Clinical Trials

R&D Use Cases and Case Studies

Healthcare & MedTech Advancements

IoT Adoption in the Pharmaceutical Sector

Cloud Computing Potential in Pharma

The Impact of Digital Health on Drug Development

Digital Health Strategies for Patient-Centric Clinical Trials

Convergence of Digital Therapeutics and Pharma

Pharma-HealthTech Collaboration to Enhance Patient Experience

Blockchain and AI-Based Platforms for Drug Development

Evolving Regulatory Frameworks for Digital Pharma

AI/ML Regulatory Compliance: Challenges & Approaches

Ensuring Data Privacy, Integrity, and Cybersecurity in Digital R&D

Ethical Considerations in AI-Driven Drug Discovery

Digital Audit Trails and GxP Compliance

Trust, Transparency & Governance in Pharma’s Digital Transformation

Attendees includes VPs, GMs, Directors, Heads and Managers of

Pharmaceutical & Biotech Executives

Clinical Research & Drug Development Professionals

Drug Discovery & Research Scientists

Pharmaceutical Formulation & Process Development Scientists

Translational Informatics & Systems Biology Experts

Bioinformatics & Computational Biology Professionals

Medical Affairs & Commercial Strategy Teams

Clinical Trial & Data Management Professionals

Real-World Data & Evidence (RWE) Analysts

Health Economics & Outcomes Researchers (HEOR)

Data Science, AI & Machine Learning Experts

Big Data & Analytics Specialists

Product Lifecycle & Digital Strategy Managers

Digital Health & Technology Developers

Digital Therapeutics & Remote Monitoring Innovators

eClinical & Patient Engagement Technology Providers

Digital Transformation & Innovation Leaders

Cloud Infrastructure & Platform Architects

IT & Digital Infrastructure Leaders

Automation, Robotics & Smart Manufacturing Engineers

Blockchain & Cybersecurity Professionals

Regulatory Affairs & Quality Compliance Experts

Pharmacovigilance & Drug Safety Officers

Ethics, Legal & Governance (ELG) Advisors

CROs, CDMOs, and Technology Solution Providers

Investors & Venture Capitalists in PharmaTech